cps 100, spring 2010 8.1 spirits of linear structures l past, present, future, … l linked-lists...

18
CPS 100, Spring 2010 8.1 Spirits of Linear Structures Past, Present, Future, … Linked-lists and arrays and ArrayLists ADT: insert, delete, iterate/traverse, grow, Advantages and trade-offs include … Goal: structures that support very efficient insertion and lookup, lists can't do better than O(n) for one of these: consider binary search and insert for arrays, or insert and lookup for linked lists. One is very good, the other not-so-good. What’s the hybrid approach?

Upload: ira-stephens

Post on 17-Dec-2015

216 views

Category:

Documents


2 download

TRANSCRIPT

CPS 100, Spring 2010 8.1

Spirits of Linear Structures

Past, Present, Future, … Linked-lists and arrays and ArrayLists

ADT: insert, delete, iterate/traverse, grow, … Advantages and trade-offs include …

Goal: structures that support very efficient insertion and lookup, lists can't do better than O(n) for one of these: consider binary search and insert for arrays, or insert and lookup for linked lists. One is very good, the other not-so-good. What’s the hybrid approach?

CPS 100, Spring 2010 8.2

Stacks Queues and Deques, Oh My!

Linear structures used in problem domains and algorithms: Stack, Queue, Dequeue. Similar abstractions with different

semantics What?

CPS 100, Spring 2010 8.3

Why don't we just use arrays?

Stacks used in implementing recursion, postscript language, Java language, graph algorithms Stacks implemented using array/ArrayList

Queues used in simulation, graph algorithms, scheduling Queues implemented using array/LinkedList

Deque (dequeue) double ended queue, wiki… Implemented using LinkedList or other

CPS 100, Spring 2010 8.4

Wordladder Story Ladder from ‘white’ to ‘house’

White, while, whale, shale, … I can do that… optimally

My brother was an English major My ladder is 16, his is 15, how?

There’s a ladder that’s 14 words! The key is ‘sough’

Guarantee optimality! QUEUE

CPS 100, Spring 2010 8.5

Simple stack example

Stack is part of java.util.Collections hierarchy As an ADT it's a LIFO data structure

• In Java you can randomly access it: OO abomination

what does pop do? What does push do? Stack<String> s = new Stack<String>(); s.push("panda"); s.push("grizzly"); s.push("brown"); System.out.println("size = "+s.size()); System.out.println(s.peek()); String str = s.pop(); System.out.println(s.peek()); System.out.println(s.pop());

CPS 100, Spring 2010 8.6

Postfix, prefix, and infix notation

Postfix notation used in some HP calculators No parentheses needed, precedence rules still

respected3 5 + 4 2 * 7 + 3 - 9 7 + * Read expression

• For number/operand: push• For operator: pop, pop, operate, push

See Postfix.java for example code, key ideas: Use StringTokenizer, handy tool for parsing Note: Exceptions thrown, what are these?

What about prefix and infix notations, advantages?

CPS 100, Spring 2010 8.7

Interlude: Exceptions

Exceptions are raised or thrown in exceptional cases Bad indexes, null pointers, illegal arguments, … File not found, URL malformed, …

Runtime exceptions aren't handled or caught Bad index in array, don't try to handle this in code Null pointer stops your program, don't code that

way!

Some exceptions are caught or rethrown FileNotFoundException and IOException

RuntimeException extends Exception catch not required

CPS 100, Spring 2010 8.8

Danny HillisThe third culture consists of those scientists and other

thinkers in the empirical world who, through their work and expository writing, are taking the place of the traditional intellectual in rendering visible the deeper meanings of our lives, redefining who and what we are.

This comes back to the view of the Web as the first form of life to grow on the Internet. It's the slime mold of the Internet. I don't want to disparage it, but it's primitive. When computers pass around Web pages, they don't know what they're talking about. They're just passing around bits, and they can be meaningless bits as far as they're concerned. They're just acting like a big telephone system. (1996, edge.org)

CPS 100, Spring 2010 8.9

Queue: another linear ADT

FIFO: first in, first out, used in many applications Scheduling jobs/processes on a computer Tenting policy? Computer simulations

Common operations: add (back), remove (front), peek ?? java.util.Queue is an interface (jdk5)

• offer(E), remove(), peek(), size() java.util.LinkedList implements the interface

• add(), addLast(), getFirst(), removeFirst()

Downside of using LinkedList as queue Can access middle elements, remove last, etc. why?

CPS 100, Spring 2010 8.10

Stack and Queue implementations

Different implementations of queue (and stack) not interesting from an algorithmic standpoint Complexity is the same, performance may change

(why?) Use ArrayList, growable array, Vector, linked list, …

As we'll see java.util.LinkedList is good basis for all In Java 5+, LinkedList implements the Queue interface,

low-level linked lists/nodes facilitate (circular list!)

ArrayList for queue is tricky, ring buffer implementation, add but wrap-around if possible before growing Tricky to get right (exercise left to reader)

CPS 100, Spring 2010 8.11

Implementation is very simple Extends Vector, so simply wraps

Vector/ArrayList methods in better names push==add, pop==remove (also peek and empty) Note: code below for ArrayList, Vector is used

• Stack is generic, so Object replaced by generic reference (see next slide)

public Object push(Object o){ add(o); return o; } public Object pop(){ return remove(size()-1); }

CPS 100, Spring 2010 8.12

Implementation is very simple

Extends Vector, so simply wraps Vector/ArrayList methods in better names What does generic look like?

public class Stack<E> extends ArrayList<E> { public E push(E o){ add(o); return o; } public E pop(Object o){ return remove(size()-1); }

CPS 100, Spring 2010 8.13

Uses or “has-a” rather than “is-a”

Suppose there's a private ArrayList myStorage Doesn't extend Vector, simply uses Vector/ArrayList Disadvantages of this approach?

• Synchronization issues

public class Stack<E> { private ArrayList<E> myStorage; public E push(E o){ myStorage.add(o); return o; } public E pop(o){ return myStorage.remove(size()-1); }

CPS 100, Spring 2010 8.14

Maria Klawe Chair of Computer Science at

UBC, Dean of Engineering at Princeton, President of Harvey Mudd College, ACM Fellow,…

Klawe's personal interests include

painting, long distance running, hiking, kayaking, juggling and playing electric guitar. She describes herself as "crazy about mathematics" and enjoys playing video games.

"I personally believe that the most important thing we have to do today is use technology to address societal problems, especially in developing regions"

CPS 100, Spring 2010 8.15

Queue applications

Simulation, discrete-event simulation How many toll-booths do we need? How many

express lanes or self-checkout at grocery store? Runway access at airport?

Queues facilitate simulation with mathematical distributions governing events, e.g., Poisson distribution for arrival times

Shortest path, e.g., in flood-fill to find path to some neighbor or in word-ladder Get from "white" to "house" one-letter at a

time?• white, while, whale, shale, shake, …?

CPS 100, Spring 2010 8.16

Queue for shortest path (see APT)public boolean ladderExists(String[] words, String from, String to){ Queue<String> q = new LinkedList<String>(); Set<String> used = new TreeSet<String>(); for(String s : words){ if (oneAway(from,s)){ q.add(s); used.add(s); } } while (q.size() != 0){ String current = q.remove(); if (oneAway(current,to)) return true; // add code here, what? } return false;}

CPS 100, Spring 2010 8.17

Shortest Path reprised

How does Queue ensure we find shortest path? Where are words one away from start? Where are words two away from start?

Why do we need to avoid revisiting a word, when? Why do we use a set for this? Why a TreeSet? Alternatives?

If we want the ladder, not just whether it exists What’s path from white to house? We know there is

one. Ideas? Options?

CPS 100, Spring 2010 8.18

Shortest path proof

All words one away from start on queue before loop Obvious from code

All one-away words dequeued before two-away See previous assertion, property of queues Two-away before 3-away, …

Each 2-away word is one away from a 1-away word So all enqueued after one-away, before three-away

• How do we find three-away word?

Any w seen/dequeued that's n-away is: Seen before every n+k-away word for k >=1!